Data And Error

This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems.

Avoid data blunders and create truly useful visualizations

Coding is a highly integral component of viable and efficient computer and data communications, yet the often heavy mathematics that form the basis of coding may prevent a serious and practical understanding of this important area.
Coding for Data and Computer Communications avoids the complex mathematics, favoring the core concepts, principles, and methods of channel codes (for error correction), source codes (for compressing data), and secure codes (for data privacy). The most important approaches and techniques used to make the storage and transmission of information (data) fast, secure, and reliable are examined.

SRE core concepts of Non-Functional Requirements, Reliability, Business Flows, SLI, SLO, Error Budget, and more.